Human Activity Recognition: A Dynamic Inductive Bias Selection Perspective
In this article, we study activity recognition in the context of sensor-rich environments. In these environments, many different constraints arise at various levels during the data generation process, such as the intrinsic characteristics of the sensing devices, their energy and computational constr...
Guardado en:
Autores principales: | Massinissa Hamidi, Aomar Osmani |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4b5c84aed66443ad8494dd5dfe04e341 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Body Temperature Monitoring for Regular COVID-19 Prevention Based on Human Daily Activity Recognition
por: Lei Zhang, et al.
Publicado: (2021) -
Modeling and Parallel Operation of Exchange-Biased Delta-E Effect Magnetometers for Sensor Arrays
por: Benjamin Spetzler, et al.
Publicado: (2021) -
A New Inductive Debris Sensor Based on Dual-Excitation Coils and Dual-Sensing Coils for Online Debris Monitoring
por: Xianwei Wu, et al.
Publicado: (2021) -
3D Recognition Based on Sensor Modalities for Robotic Systems: A Survey
por: Sumaira Manzoor, et al.
Publicado: (2021) -
Human Activity Recognition: literature Review
por: mais irreem atheed, et al.
Publicado: (2021)